Senior AI Engineer

• We bridge the gap between data science and software engineering to productionize AI and machine learning solutions.
• We work closely with data scientists, software engineers, and product teams to deliver robust, scalable AI solutions.
• We integrate AI models into production systems and optimize performance.
• We maintain the reliability of AI-driven features.
• We contribute to the technical growth of the team.

Technologies:

• AI
• AWS
• Azure
• CI/CD
• Cloud
• Docker
• GCP
• Support
• Java
• Kubernetes
• Machine Learning
• MLOps
• Python

• We need solid experience in software development with proficiency in Python, Java, or C++, and the ability to write clean, efficient, maintainable code for production-grade AI solutions.
• We need hands-on experience deploying AI and machine learning models to production environments, with a strong understanding of MLOps practices including CI/CD pipelines, model versioning, and monitoring.
• We need experience with cloud platforms such as AWS, Azure, or GCP, and cloud-native AI tools such as SageMaker, Vertex AI, or Azure ML Studio.
• We need working knowledge of containerization technologies such as Docker and orchestration tools such as Kubernetes to build and manage scalable AI solutions.
• We need skills in data engineering, including building data pipelines, data wrangling, and integrating AI solutions with enterprise data systems.
• We need exposure to agile software development practices and experience working in agile teams.
• We need strong interpersonal skills and the ability to collaborate with cross-functional teams, translate technical requirements into actionable solutions, and communicate effectively with both technical and non-technical stakeholders.
• A BSc, MSc, or PhD in Computer Science, Machine Learning, Software Engineering, or a related field is desirable.
• Familiarity with Workday APIs, data structures, and integration patterns is desirable.
• Experience designing and implementing generative AI solutions using large language models such as OpenAI GPT or Hugging Face Transformers is desirable.
• Exposure to deep learning techniques such as CNNs, RNNs, and Transformers applied to real-world problems is desirable.
• Participation in knowledge-sharing activities such as conferences, workshops, or blogs is desirable.
• We are looking for someone who is determined, creative, honest, respectful, and cooperative.

We are Kainos, a people-first company of problem solvers, innovators, and collaborators focused on creating real impact through digital services and Workday solutions. Our Senior AI Engineer role sits within our Workday Practice, where we work together to deliver cutting-edge AI and machine learning solutions that enhance our product offerings. We value creativity, collaboration, diversity, equity, and inclusion, and we support our peoples growth in a supportive and ambitious environment. We are committed to building a diverse team and providing a fair recruitment process with accommodations available for candidates who need them.